To test the online accuracy, we couple the NN and RF to the 200 atmospheric model run with clouds-off known physics, and perform 10-day hindcast simulations initialized at 0 UTC on August 5, 2016 and compare them to an all-physics simulation (cf. Figure REF ).
Even though the NN outperformed the RF offline, the NN simulation crashes after around 7 days, while the RF simulation successfully completes the 10-day simulation.
This confirms findings that random forests are often stable for this problem [1]} while neural network are not [2]}.
